Enabling real-time multi-messenger astrophysics discoveries with deep learning. (arXiv:1911.11779v1 [gr-qc])

Enabling real-time multi-messenger astrophysics discoveries with deep learning. (arXiv:1911.11779v1 [gr-qc])
<a href="http://arxiv.org/find/gr-qc/1/au:+Huerta_E/0/1/0/all/0/1">E. A. Huerta</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Allen_G/0/1/0/all/0/1">Gabrielle Allen</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Andreoni_I/0/1/0/all/0/1">Igor Andreoni</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Antelis_J/0/1/0/all/0/1">Javier M. Antelis</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Bachelet_E/0/1/0/all/0/1">Etienne Bachelet</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Berriman_B/0/1/0/all/0/1">Bruce Berriman</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Bianco_F/0/1/0/all/0/1">Federica Bianco</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Biswas_R/0/1/0/all/0/1">Rahul Biswas</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Carrasco_M/0/1/0/all/0/1">Matias Carrasco</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Chard_K/0/1/0/all/0/1">Kyle Chard</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Cho_M/0/1/0/all/0/1">Minsik Cho</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Cowperthwaite_P/0/1/0/all/0/1">Philip S. Cowperthwaite</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Etienne_Z/0/1/0/all/0/1">Zachariah B. Etienne</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Fishbach_M/0/1/0/all/0/1">Maya Fishbach</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Forster_F/0/1/0/all/0/1">Francisco Förster</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+George_D/0/1/0/all/0/1">Daniel George</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Gibbs_T/0/1/0/all/0/1">Tom Gibbs</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Graham_M/0/1/0/all/0/1">Matthew Graham</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Gropp_W/0/1/0/all/0/1">William Gropp</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Gruendl_R/0/1/0/all/0/1">Robert Gruendl</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Gupta_A/0/1/0/all/0/1">Anushri Gupta</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Haas_R/0/1/0/all/0/1">Roland Haas</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Habib_S/0/1/0/all/0/1">Sarah Habib</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Jennings_E/0/1/0/all/0/1">Elise Jennings</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Johnson_M/0/1/0/all/0/1">Margaret W. G. Johnson</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Katsavounidis_E/0/1/0/all/0/1">Erik Katsavounidis</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Katz_D/0/1/0/all/0/1">Daniel S. Katz</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Khan_A/0/1/0/all/0/1">Asad Khan</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Kindratenko_V/0/1/0/all/0/1">Volodymyr Kindratenko</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Kramer_W/0/1/0/all/0/1">William T. C. Kramer</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Liu_X/0/1/0/all/0/1">Xin Liu</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Mahabal_A/0/1/0/all/0/1">Ashish Mahabal</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Marka_Z/0/1/0/all/0/1">Zsuzsa Marka</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+McHenry_K/0/1/0/all/0/1">Kenton McHenry</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Miller_J/0/1/0/all/0/1">Jonah Miller</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Moreno_C/0/1/0/all/0/1">Claudia Moreno</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Neubauer_M/0/1/0/all/0/1">Mark Neubauer</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Oberlin_S/0/1/0/all/0/1">Steve Oberlin</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Olivas_A/0/1/0/all/0/1">Alexander R. Olivas</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Petravick_D/0/1/0/all/0/1">Donald Petravick</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Rebei_A/0/1/0/all/0/1">Adam Rebei</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Rosofsky_S/0/1/0/all/0/1">Shawn Rosofsky</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Ruiz_M/0/1/0/all/0/1">Milton Ruiz</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Saxton_A/0/1/0/all/0/1">Aaron Saxton</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Schutz_B/0/1/0/all/0/1">Bernard F. Schutz</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Schwing_A/0/1/0/all/0/1">Alex Schwing</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Seidel_E/0/1/0/all/0/1">Ed Seidel</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Shapiro_S/0/1/0/all/0/1">Stuart L. Shapiro</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Shen_H/0/1/0/all/0/1">Hongyu Shen</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Shen_Y/0/1/0/all/0/1">Yue Shen</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Singer_L/0/1/0/all/0/1">Leo Singer</a>, et al. (9 additional authors not shown)

Multi-messenger astrophysics is a fast-growing, interdisciplinary field that
combines data, which vary in volume and speed of data processing, from many
different instruments that probe the Universe using different cosmic
messengers: electromagnetic waves, cosmic rays, gravitational waves and
neutrinos. In this Expert Recommendation, we review the key challenges of
real-time observations of gravitational wave sources and their electromagnetic
and astroparticle counterparts, and make a number of recommendations to
maximize their potential for scientific discovery. These recommendations refer
to the design of scalable and computationally efficient machine learning
algorithms; the cyber-infrastructure to numerically simulate astrophysical
sources, and to process and interpret multi-messenger astrophysics data; the
management of gravitational wave detections to trigger real-time alerts for
electromagnetic and astroparticle follow-ups; a vision to harness future
developments of machine learning and cyber-infrastructure resources to cope
with the big-data requirements; and the need to build a community of experts to
realize the goals of multi-messenger astrophysics.

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